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A semantic web page linguistic annotation model
Citation
Aguado de Cea, Guadalupe 
ORCID: https://orcid.org/0000-0003-0367-0299, Alvarez de Mon Rego, Inmaculada ORCID: https://orcid.org/0000-0001-8468-8006, Gómez-Pérez, A. ORCID: https://orcid.org/0000-0002-3037-0331, Pareja-Lora, A. and Plaza-Arteche, Rosario
(2002).
A semantic web page linguistic annotation model.
In: "Eighteenth National Conference on Artificial Intelligence (AAAI-02)", 28-29 Jul 2002, Alberta, Canada. pp. 20-29.
Description
| Title: | A semantic web page linguistic annotation model |
|---|---|
| Author/s: |
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| Item Type: | Presentation at Congress or Conference (Article) |
| Event Title: | Eighteenth National Conference on Artificial Intelligence (AAAI-02) |
| Event Dates: | 28-29 Jul 2002 |
| Event Location: | Alberta, Canada |
| Title of Book: | AAAI 2002 Workshops |
| Date: | 2002 |
| Subjects: | |
| Faculty: | Facultad de Informática (UPM) |
| Department: | Inteligencia Artificial |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
Although with the Semantic Web initiative much research on web page semantic annotation has already been done by AI researchers, linguistic text annotation, including the semantic one, was originally developed in Corpus Linguistics and its results have been somehow neglected by AI. The purpose of the research presented in this proposal is to prove that integration of results in both fields is not only possible, but also highly useful in order to make Semantic Web pages more machine-readable. A multi-level (possibly multi-purpose and multi-language) annotation model based on EAGLES standards and Ontological Semantics, implemented with last generation Semantic Web languages is being developed to fit the needs of both communities.
More information
| Item ID: | 72606 |
|---|---|
| DC Identifier: | https://oa.upm.es/72606/ |
| OAI Identifier: | oai:oa.upm.es:72606 |
| Deposited by: | Biblioteca Facultad de Informatica |
| Deposited on: | 10 Feb 2023 06:27 |
| Last Modified: | 10 Feb 2023 06:28 |
